Results 211 to 220 of about 1,075,463 (280)

Roadmap to Precision 3D Printing of Cellulose: Rheology‐Guided Formulation, Fidelity Assessment, and Application Horizons

Advanced Materials Technologies, EarlyView.
This critical review presents a comprehensive roadmap for the precision 3D printing of cellulose. Quantitative correlations link ink formulation and rheological properties to print fidelity and final material performance. This framework guides the development of advanced functional materials, from biomedical scaffolds to electromagnetic shielding ...
Majed Amini, Hadi Hosseini, Seyyed Alireza Hashemi, Mohammad Arjmand   +3 more
wiley   +1 more source

How to Tell a Recovery Story 'Professionally'? Issues Related to the Transformation of Personal Stories During a Training for Becoming a Peer Support Worker. [PDF]

Health Expect
Faccio E, Rocelli M, Salamina G, Aquili L.   +3 more
europepmc   +1 more source

Accelerating Discovery to Deployment: Argonne's Materials Engineering Research Facility (MERF) and Its Role in Scaling Materials Technologies for Water and Resource Solutions

Advanced Materials Technologies, EarlyView.
In this Perspective, we highlight the processing science and scale‐up capabilities of the Materials Engineering Research Facility (MERF) at the U.S. Department of Energy's Argonne National Laboratory, with an emphasis on practical solutions for sustainable water and critical resource recovery. We demonstrate how national laboratories bridge fundamental
Yuepeng Zhang, Bratin Sengupta, Xiaoao Shi, Haihui Pu, Jeffrey W. Elam, Gregory K. Krumdick, Jessica Durham Macholz, Allison Bennett Irion, Junhong Chen, Seth B. Darling   +9 more
wiley   +1 more source

The semantic structure of events consistently influences episodic memory recall over time in young and older adults. [PDF]

Sci Rep
Melega G, Samson K, Lee H, Renoult L.
europepmc   +1 more source

Excitonic Landscapes in Monolayer Lateral Heterostructures Revealed by Unsupervised Machine Learning

Advanced Optical Materials, EarlyView.
Hyperspectral photoluminescence data from graded MoxW1 − xS2 alloys and monolayer MoS2–WS2 lateral heterostructures are analyzed using unsupervised machine learning. The combined use of PCA, t‐SNE, and DBSCAN uncovers distinct excitonic regions that trace how composition, strain, and defects modulate optical responses in these 2D materials.
Maninder Kaur, Nicolas T. Sandino, Jason P. Terry, Mahdi Ghafariasl, Yohannes Abate   +4 more
wiley   +1 more source

Revealing Hidden Cognitive Language Patterns in Brain Injury: Can Modifiers and Function Words Play a Role in Neuroplasticity? [PDF]

Brain Sci
Roldán-Palacios M, López-López A.
europepmc   +1 more source

Near‐Infrared‐Driven Metal–Organic Frameworks‐Based Nanorobots for Controlled Photothermal‐Chemical Therapy Synergistic Induction of Cancer Cell Death

Advanced Robotics Research, EarlyView.
To achieve efficient cancer cell death, a bowl‐shaped PDA@UiO‐66@DOX nanorobot drug‐delivery nanoplatform was developed. Near‐infrared irradiation not only drives the nanorobot to exhibit self‐thermophoretic motion and elevates temperature but also triggers Doxorubicin (DOX) release via hyperthermia, enhancing cancer cells uptake of DOX and thereby ...
Tong Lin, Jie Yang, Yongcheng Li, Yuepeng Cai, Xiaosong Zhou, Ting Chen, Renfeng Dong   +6 more
wiley   +1 more source

Understanding how users identify health misinformation in short videos: an integrated analysis using PLS-SEM and fsQCA. [PDF]

Front Public Health
Wang R, Yang H, Wang Y, Zhai X.
europepmc   +1 more source

Foundation Model‐Enabled Multimodal Deep Learning for Prognostic Prediction in Colorectal Cancer with Incomplete Modalities: A Multi‐Institutional Retrospective Study

Advanced Science, EarlyView.
FLARE, a multimodal AI framework, combines pathology slides, radiology scans, and clinical reports to predict colorectal cancer outcomes, even when some tests are missing. Evaluated retrospectively in 1679 patients from four medical centers, it consistently achieved the best prognostic accuracy and clearly separated high‐ and low‐risk groups.
Linhao Qu, Chengsheng Zhang, Yingyong Hou, Feng Tang, Weiqi Sheng, Dan Huang, Zhijian Song   +6 more
wiley   +1 more source